Overview

Dataset statistics

Number of variables26
Number of observations193
Missing cells1071
Missing cells (%)21.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.3 KiB
Average record size in memory208.7 B

Variable types

Text2
Numeric24

Alerts

1st_2nd_lda is highly overall correlated with 1st_2nd_stm and 2 other fieldsHigh correlation
1st_2nd_lda_adj is highly overall correlated with 1st_2nd_stm_adj and 3 other fieldsHigh correlation
1st_2nd_stm is highly overall correlated with 1st_2nd_lda and 1 other fieldsHigh correlation
1st_2nd_stm_adj is highly overall correlated with 1st_2nd_lda_adj and 3 other fieldsHigh correlation
1st_2nd_tfidf is highly overall correlated with 1st_2nd_lda and 2 other fieldsHigh correlation
1st_2nd_tfidf_adj is highly overall correlated with 1st_2nd_lda_adj and 4 other fieldsHigh correlation
1st_2nd_use is highly overall correlated with 1st_2nd_lda and 4 other fieldsHigh correlation
1st_2nd_use_adj is highly overall correlated with 1st_2nd_lda_adj and 5 other fieldsHigh correlation
1st_const_year is highly overall correlated with 1st_curr_lda_adj and 7 other fieldsHigh correlation
1st_curr_lda_adj is highly overall correlated with 1st_const_year and 5 other fieldsHigh correlation
1st_curr_stm_adj is highly overall correlated with 1st_const_year and 5 other fieldsHigh correlation
1st_curr_tfidf_adj is highly overall correlated with 1st_curr_lda_adj and 3 other fieldsHigh correlation
1st_curr_use_adj is highly overall correlated with 1st_curr_lda_adj and 3 other fieldsHigh correlation
1st_current_lda is highly overall correlated with 1st_current_stm and 3 other fieldsHigh correlation
1st_current_stm is highly overall correlated with 1st_current_lda and 4 other fieldsHigh correlation
1st_current_tfidf is highly overall correlated with 1st_2nd_tfidf and 7 other fieldsHigh correlation
1st_current_use is highly overall correlated with 1st_2nd_use and 2 other fieldsHigh correlation
2nd_const_year is highly overall correlated with 1st_const_year and 6 other fieldsHigh correlation
constitutional_time is highly overall correlated with 1st_const_year and 7 other fieldsHigh correlation
first_regime_time is highly overall correlated with 1st_2nd_lda_adj and 3 other fieldsHigh correlation
lda_distance is highly overall correlated with 1st_const_year and 8 other fieldsHigh correlation
stm_distance is highly overall correlated with 1st_const_year and 8 other fieldsHigh correlation
tfidf_distance is highly overall correlated with 1st_2nd_tfidf and 9 other fieldsHigh correlation
use_distance is highly overall correlated with 1st_2nd_use and 8 other fieldsHigh correlation
2nd_const_year has 63 (32.6%) missing valuesMissing
1st_2nd_tfidf has 63 (32.6%) missing valuesMissing
1st_current_tfidf has 63 (32.6%) missing valuesMissing
1st_2nd_lda has 63 (32.6%) missing valuesMissing
1st_current_lda has 63 (32.6%) missing valuesMissing
1st_2nd_use has 63 (32.6%) missing valuesMissing
1st_current_use has 63 (32.6%) missing valuesMissing
1st_2nd_stm has 63 (32.6%) missing valuesMissing
1st_current_stm has 63 (32.6%) missing valuesMissing
1st_2nd_tfidf_adj has 63 (32.6%) missing valuesMissing
1st_2nd_lda_adj has 63 (32.6%) missing valuesMissing
1st_2nd_use_adj has 63 (32.6%) missing valuesMissing
1st_2nd_stm_adj has 63 (32.6%) missing valuesMissing
1st_curr_tfidf_adj has 63 (32.6%) missing valuesMissing
1st_curr_lda_adj has 63 (32.6%) missing valuesMissing
1st_curr_use_adj has 63 (32.6%) missing valuesMissing
1st_curr_stm_adj has 63 (32.6%) missing valuesMissing
code has unique valuesUnique
country has unique valuesUnique
tfidf_distance has 63 (32.6%) zerosZeros
lda_distance has 63 (32.6%) zerosZeros
use_distance has 63 (32.6%) zerosZeros
stm_distance has 63 (32.6%) zerosZeros

Reproduction

Analysis started2024-01-28 18:34:21.079233
Analysis finished2024-01-28 18:36:03.522419
Duration1 minute and 42.44 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

code
Text

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:04.369697image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0051813
Min length3

Characters and Unicode

Total characters580
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)100.0%

Sample

1st rowAFG
2nd rowALB
3rd rowDZA
4th rowAND
5th rowAGO
ValueCountFrequency (%)
afg 1
 
0.5%
alb 1
 
0.5%
bhs 1
 
0.5%
dza 1
 
0.5%
and 1
 
0.5%
ago 1
 
0.5%
atg 1
 
0.5%
arg 1
 
0.5%
arm 1
 
0.5%
aus 1
 
0.5%
Other values (183) 183
94.8%
2024-01-28T15:36:05.448288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 44
 
7.6%
R 43
 
7.4%
N 40
 
6.9%
M 36
 
6.2%
L 34
 
5.9%
S 33
 
5.7%
T 32
 
5.5%
G 29
 
5.0%
B 28
 
4.8%
E 26
 
4.5%
Other values (16) 235
40.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 580
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 44
 
7.6%
R 43
 
7.4%
N 40
 
6.9%
M 36
 
6.2%
L 34
 
5.9%
S 33
 
5.7%
T 32
 
5.5%
G 29
 
5.0%
B 28
 
4.8%
E 26
 
4.5%
Other values (16) 235
40.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 580
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 44
 
7.6%
R 43
 
7.4%
N 40
 
6.9%
M 36
 
6.2%
L 34
 
5.9%
S 33
 
5.7%
T 32
 
5.5%
G 29
 
5.0%
B 28
 
4.8%
E 26
 
4.5%
Other values (16) 235
40.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 44
 
7.6%
R 43
 
7.4%
N 40
 
6.9%
M 36
 
6.2%
L 34
 
5.9%
S 33
 
5.7%
T 32
 
5.5%
G 29
 
5.0%
B 28
 
4.8%
E 26
 
4.5%
Other values (16) 235
40.5%

country
Text

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:05.981632image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length32
Median length21
Mean length8.4559585
Min length4

Characters and Unicode

Total characters1632
Distinct characters51
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)100.0%

Sample

1st rowAfghanistan
2nd rowAlbania
3rd rowAlgeria
4th rowAndorra
5th rowAngola
ValueCountFrequency (%)
republic 5
 
2.1%
and 4
 
1.7%
guinea 4
 
1.7%
saint 3
 
1.2%
south 3
 
1.2%
the 2
 
0.8%
korea 2
 
0.8%
united 2
 
0.8%
sudan 2
 
0.8%
arab 2
 
0.8%
Other values (207) 211
87.9%
2024-01-28T15:36:06.746438image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 255
15.6%
i 144
 
8.8%
n 125
 
7.7%
e 109
 
6.7%
o 90
 
5.5%
r 89
 
5.5%
u 66
 
4.0%
t 62
 
3.8%
l 60
 
3.7%
s 52
 
3.2%
Other values (41) 580
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1352
82.8%
Uppercase Letter 233
 
14.3%
Space Separator 47
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 255
18.9%
i 144
10.7%
n 125
9.2%
e 109
 
8.1%
o 90
 
6.7%
r 89
 
6.6%
u 66
 
4.9%
t 62
 
4.6%
l 60
 
4.4%
s 52
 
3.8%
Other values (16) 300
22.2%
Uppercase Letter
ValueCountFrequency (%)
S 27
 
11.6%
M 19
 
8.2%
B 18
 
7.7%
C 18
 
7.7%
A 17
 
7.3%
T 15
 
6.4%
G 15
 
6.4%
N 12
 
5.2%
L 12
 
5.2%
I 10
 
4.3%
Other values (14) 70
30.0%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1585
97.1%
Common 47
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 255
16.1%
i 144
 
9.1%
n 125
 
7.9%
e 109
 
6.9%
o 90
 
5.7%
r 89
 
5.6%
u 66
 
4.2%
t 62
 
3.9%
l 60
 
3.8%
s 52
 
3.3%
Other values (40) 533
33.6%
Common
ValueCountFrequency (%)
47
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 255
15.6%
i 144
 
8.8%
n 125
 
7.7%
e 109
 
6.7%
o 90
 
5.5%
r 89
 
5.5%
u 66
 
4.0%
t 62
 
3.8%
l 60
 
3.7%
s 52
 
3.2%
Other values (41) 580
35.5%

1st_const_year
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1935.7927
Minimum1789
Maximum2011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:06.993433image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1789
5-th percentile1816.4
Q11919
median1960
Q31975
95-th percentile1995
Maximum2011
Range222
Interquartile range (IQR)56

Descriptive statistics

Standard deviation57.592123
Coefficient of variation (CV)0.029751182
Kurtosis0.10938219
Mean1935.7927
Median Absolute Deviation (MAD)21
Skewness-1.1392082
Sum373608
Variance3316.8527
MonotonicityNot monotonic
2024-01-28T15:36:07.236432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1960 9
 
4.7%
1962 8
 
4.1%
1978 6
 
3.1%
1947 5
 
2.6%
1991 5
 
2.6%
1979 5
 
2.6%
1964 5
 
2.6%
1981 5
 
2.6%
1975 5
 
2.6%
1961 5
 
2.6%
Other values (89) 135
69.9%
ValueCountFrequency (%)
1789 1
0.5%
1791 2
1.0%
1795 1
0.5%
1801 1
0.5%
1808 1
0.5%
1809 1
0.5%
1811 1
0.5%
1813 1
0.5%
1814 1
0.5%
1818 1
0.5%
ValueCountFrequency (%)
2011 1
 
0.5%
2008 1
 
0.5%
2003 1
 
0.5%
2002 1
 
0.5%
1998 1
 
0.5%
1997 1
 
0.5%
1996 2
1.0%
1995 4
2.1%
1994 2
1.0%
1993 3
1.6%

2nd_const_year
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct83
Distinct (%)63.8%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean1950.1308
Minimum1793
Maximum2011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:07.477432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1793
5-th percentile1828.9
Q11931
median1969.5
Q31989.75
95-th percentile2007.55
Maximum2011
Range218
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation53.931106
Coefficient of variation (CV)0.027655123
Kurtosis0.77941336
Mean1950.1308
Median Absolute Deviation (MAD)24.5
Skewness-1.2849272
Sum253517
Variance2908.5642
MonotonicityNot monotonic
2024-01-28T15:36:07.723445image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1979 4
 
2.1%
1992 4
 
2.1%
1962 4
 
2.1%
1974 3
 
1.6%
1996 3
 
1.6%
2005 3
 
1.6%
1970 3
 
1.6%
2008 3
 
1.6%
1978 3
 
1.6%
1959 2
 
1.0%
Other values (73) 98
50.8%
(Missing) 63
32.6%
ValueCountFrequency (%)
1793 1
0.5%
1805 1
0.5%
1812 1
0.5%
1815 1
0.5%
1823 1
0.5%
1826 1
0.5%
1828 1
0.5%
1830 1
0.5%
1831 1
0.5%
1836 1
0.5%
ValueCountFrequency (%)
2011 2
1.0%
2010 2
1.0%
2008 3
1.6%
2007 1
 
0.5%
2005 3
1.6%
2002 2
1.0%
2001 2
1.0%
1999 1
 
0.5%
1998 1
 
0.5%
1996 3
1.6%

1st_2nd_tfidf
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.55464505
Minimum0.0201733
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:07.968446image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0201733
5-th percentile0.067218377
Q10.35113069
median0.57103248
Q30.8262868
95-th percentile0.96160684
Maximum1
Range0.9798267
Interquartile range (IQR)0.47515612

Descriptive statistics

Standard deviation0.28979249
Coefficient of variation (CV)0.52248279
Kurtosis-1.0399434
Mean0.55464505
Median Absolute Deviation (MAD)0.24142873
Skewness-0.22781695
Sum72.103856
Variance0.083979689
MonotonicityNot monotonic
2024-01-28T15:36:08.290996image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3536304 1
 
0.5%
0.39374864 1
 
0.5%
0.98284872 1
 
0.5%
0.57017142 1
 
0.5%
0.89508546 1
 
0.5%
0.0300009 1
 
0.5%
0.77503286 1
 
0.5%
0.14577967 1
 
0.5%
0.80957755 1
 
0.5%
0.6414186 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.0201733 1
0.5%
0.0300009 1
0.5%
0.03110075 1
0.5%
0.04367113 1
0.5%
0.0565919 1
0.5%
0.0569241 1
0.5%
0.06451124 1
0.5%
0.0705271 1
0.5%
0.0705558 1
0.5%
0.08149785 1
0.5%
ValueCountFrequency (%)
1 1
0.5%
0.9976256217 1
0.5%
0.98284872 1
0.5%
0.976940108 1
0.5%
0.974659728 1
0.5%
0.968144733 1
0.5%
0.962688424 1
0.5%
0.960284915 1
0.5%
0.95103436 1
0.5%
0.94884168 1
0.5%

1st_current_tfidf
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.6039566
Minimum0.0201733
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:08.592976image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0201733
5-th percentile0.076121546
Q10.37213125
median0.64427824
Q30.87531829
95-th percentile0.98309939
Maximum1
Range0.9798267
Interquartile range (IQR)0.50318705

Descriptive statistics

Standard deviation0.29539479
Coefficient of variation (CV)0.48909937
Kurtosis-1.0258001
Mean0.6039566
Median Absolute Deviation (MAD)0.24769431
Skewness-0.47133038
Sum78.514357
Variance0.087258082
MonotonicityNot monotonic
2024-01-28T15:36:08.898976image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3035168 1
 
0.5%
0.4996174 1
 
0.5%
0.98284872 1
 
0.5%
0.74367234 1
 
0.5%
0.73904103 1
 
0.5%
0.2395039 1
 
0.5%
0.4761298 1
 
0.5%
0.1445826 1
 
0.5%
0.921665385 1
 
0.5%
0.983304482 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.0201733 1
0.5%
0.03110075 1
0.5%
0.0565919 1
0.5%
0.0569241 1
0.5%
0.0605006 1
0.5%
0.06490505 1
0.5%
0.07049835 1
0.5%
0.08299434 1
0.5%
0.08384097 1
0.5%
0.08689183 1
0.5%
ValueCountFrequency (%)
1 1
0.5%
0.9976256217 1
0.5%
0.9936541156 1
0.5%
0.990213237 1
0.5%
0.98426032 1
0.5%
0.98410011 1
0.5%
0.983304482 1
0.5%
0.98284872 1
0.5%
0.976940108 1
0.5%
0.96477796 1
0.5%

1st_2nd_lda
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.44316561
Minimum0.00092487985
Maximum0.832416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:09.196988image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.00092487985
5-th percentile0.1120277
Q10.29440284
median0.43651447
Q30.57779393
95-th percentile0.80670039
Maximum0.832416
Range0.83149112
Interquartile range (IQR)0.28339109

Descriptive statistics

Standard deviation0.20311936
Coefficient of variation (CV)0.45833738
Kurtosis-0.64232809
Mean0.44316561
Median Absolute Deviation (MAD)0.1429888
Skewness0.047521627
Sum57.611529
Variance0.041257476
MonotonicityNot monotonic
2024-01-28T15:36:09.507994image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4902039477 1
 
0.5%
0.4247056517 1
 
0.5%
0.7338111011 1
 
0.5%
0.1832512237 1
 
0.5%
0.5699860148 1
 
0.5%
0.05153921136 1
 
0.5%
0.1837521032 1
 
0.5%
0.1090214883 1
 
0.5%
0.6453213329 1
 
0.5%
0.6659218507 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.0009248798472 1
0.5%
0.009009424209 1
0.5%
0.02491735492 1
0.5%
0.05153921136 1
0.5%
0.106568484 1
0.5%
0.1090214883 1
0.5%
0.1107000823 1
0.5%
0.1136503332 1
0.5%
0.1224426352 1
0.5%
0.1570453903 1
0.5%
ValueCountFrequency (%)
0.8324159977 1
0.5%
0.8322413363 1
0.5%
0.831322489 1
0.5%
0.8247713524 1
0.5%
0.8150825904 1
0.5%
0.8112244864 1
0.5%
0.810847399 1
0.5%
0.8016318293 1
0.5%
0.777378254 1
0.5%
0.7398105908 1
0.5%

1st_current_lda
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.58351659
Minimum0.0090094242
Maximum0.83242574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:09.808024image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0090094242
5-th percentile0.22517292
Q10.48043962
median0.61706904
Q30.73142041
95-th percentile0.81790543
Maximum0.83242574
Range0.82341631
Interquartile range (IQR)0.25098079

Descriptive statistics

Standard deviation0.19093433
Coefficient of variation (CV)0.3272132
Kurtosis0.2771821
Mean0.58351659
Median Absolute Deviation (MAD)0.11933046
Skewness-0.87972268
Sum75.857157
Variance0.03645592
MonotonicityNot monotonic
2024-01-28T15:36:10.083025image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6341485178 1
 
0.5%
0.5404719296 1
 
0.5%
0.7338111011 1
 
0.5%
0.6720473046 1
 
0.5%
0.7431631803 1
 
0.5%
0.4167833364 1
 
0.5%
0.2256352177 1
 
0.5%
0.04773825738 1
 
0.5%
0.8312122451 1
 
0.5%
0.8022149626 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.009009424209 1
0.5%
0.04773825738 1
0.5%
0.106568484 1
0.5%
0.1136503332 1
0.5%
0.1423339059 1
0.5%
0.1482686852 1
0.5%
0.2247946763 1
0.5%
0.2256352177 1
0.5%
0.2632287717 1
0.5%
0.2703033666 1
0.5%
ValueCountFrequency (%)
0.8324257359 1
0.5%
0.8324159977 1
0.5%
0.8321897687 1
0.5%
0.8312122451 1
0.5%
0.8246794945 1
0.5%
0.8213321706 1
0.5%
0.8202150196 1
0.5%
0.8150825904 1
0.5%
0.8131771201 1
0.5%
0.8112244864 1
0.5%

1st_2nd_use
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.10565743
Minimum0.0053433587
Maximum0.42081453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:10.325023image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0053433587
5-th percentile0.010897003
Q10.039871121
median0.067716425
Q30.15746744
95-th percentile0.30632343
Maximum0.42081453
Range0.41547117
Interquartile range (IQR)0.11759631

Descriptive statistics

Standard deviation0.093243389
Coefficient of variation (CV)0.88250666
Kurtosis1.0813675
Mean0.10565743
Median Absolute Deviation (MAD)0.038852176
Skewness1.3224261
Sum13.735466
Variance0.0086943297
MonotonicityNot monotonic
2024-01-28T15:36:10.572894image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05512329385 1
 
0.5%
0.05099676958 1
 
0.5%
0.3285916033 1
 
0.5%
0.01088671013 1
 
0.5%
0.04217074802 1
 
0.5%
0.00715785513 1
 
0.5%
0.05273526816 1
 
0.5%
0.01315690476 1
 
0.5%
0.2756207437 1
 
0.5%
0.3081018993 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.005343358713 1
0.5%
0.006509150755 1
0.5%
0.00693760752 1
0.5%
0.007083448061 1
0.5%
0.00715785513 1
0.5%
0.01004561837 1
0.5%
0.01088671013 1
0.5%
0.010909584 1
0.5%
0.01315690476 1
0.5%
0.01458493451 1
0.5%
ValueCountFrequency (%)
0.4208145276 1
0.5%
0.3867030993 1
0.5%
0.3642154469 1
0.5%
0.3285916033 1
0.5%
0.3113730362 1
0.5%
0.3081018993 1
0.5%
0.3070696313 1
0.5%
0.3054114134 1
0.5%
0.3009266105 1
0.5%
0.3005765842 1
0.5%

1st_current_use
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.14357442
Minimum0.0047233982
Maximum0.52326219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:10.812892image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0047233982
5-th percentile0.026550543
Q10.070851784
median0.12055374
Q30.19087579
95-th percentile0.31322431
Maximum0.52326219
Range0.51853879
Interquartile range (IQR)0.12002401

Descriptive statistics

Standard deviation0.099832416
Coefficient of variation (CV)0.69533566
Kurtosis1.864929
Mean0.14357442
Median Absolute Deviation (MAD)0.05930442
Skewness1.2405614
Sum18.664675
Variance0.0099665112
MonotonicityNot monotonic
2024-01-28T15:36:11.071891image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1669640441 1
 
0.5%
0.08687377779 1
 
0.5%
0.3285916033 1
 
0.5%
0.08684611184 1
 
0.5%
0.1512387381 1
 
0.5%
0.07166519638 1
 
0.5%
0.09127517087 1
 
0.5%
0.00896903061 1
 
0.5%
0.5029965022 1
 
0.5%
0.1078774117 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.004723398218 1
0.5%
0.005343358713 1
0.5%
0.00896903061 1
0.5%
0.009546910405 1
0.5%
0.010909584 1
0.5%
0.01349929613 1
0.5%
0.02200860971 1
0.5%
0.03210179473 1
0.5%
0.03330747769 1
0.5%
0.03364362066 1
0.5%
ValueCountFrequency (%)
0.5232621873 1
0.5%
0.5029965022 1
0.5%
0.4208145276 1
0.5%
0.3642154469 1
0.5%
0.3380186079 1
0.5%
0.3285916033 1
0.5%
0.3143392196 1
0.5%
0.3118616537 1
0.5%
0.3070696313 1
0.5%
0.3057088118 1
0.5%

1st_2nd_stm
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.42555344
Minimum0.053467835
Maximum0.83107211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:11.319892image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.053467835
5-th percentile0.13454242
Q10.26757654
median0.39443323
Q30.57040201
95-th percentile0.77478921
Maximum0.83107211
Range0.77760428
Interquartile range (IQR)0.30282547

Descriptive statistics

Standard deviation0.1973448
Coefficient of variation (CV)0.46373683
Kurtosis-0.71125218
Mean0.42555344
Median Absolute Deviation (MAD)0.13632913
Skewness0.34025448
Sum55.321947
Variance0.038944971
MonotonicityNot monotonic
2024-01-28T15:36:11.579912image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1808094633 1
 
0.5%
0.3401846372 1
 
0.5%
0.7927069066 1
 
0.5%
0.2597674839 1
 
0.5%
0.1086374728 1
 
0.5%
0.2751306334 1
 
0.5%
0.1426708258 1
 
0.5%
0.2371090592 1
 
0.5%
0.496686597 1
 
0.5%
0.7635874396 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.05346783526 1
0.5%
0.06301731907 1
0.5%
0.06664675472 1
0.5%
0.09193017521 1
0.5%
0.103935994 1
0.5%
0.1086374728 1
0.5%
0.1278919017 1
0.5%
0.1426708258 1
0.5%
0.1674803379 1
0.5%
0.1795426932 1
0.5%
ValueCountFrequency (%)
0.8310721109 1
0.5%
0.8302623488 1
0.5%
0.8220312078 1
0.5%
0.8139319874 1
0.5%
0.8129855665 1
0.5%
0.7927069066 1
0.5%
0.7750710625 1
0.5%
0.7744447283 1
0.5%
0.7646634819 1
0.5%
0.7636754462 1
0.5%

1st_current_stm
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.55280506
Minimum0.066646755
Maximum0.83126568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:12.643918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.066646755
5-th percentile0.20777049
Q10.3816559
median0.58016529
Q30.74755949
95-th percentile0.82573001
Maximum0.83126568
Range0.76461893
Interquartile range (IQR)0.36590359

Descriptive statistics

Standard deviation0.20597414
Coefficient of variation (CV)0.37259814
Kurtosis-1.0161123
Mean0.55280506
Median Absolute Deviation (MAD)0.1884196
Skewness-0.31253957
Sum71.864658
Variance0.042425345
MonotonicityNot monotonic
2024-01-28T15:36:13.007921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3514579609 1
 
0.5%
0.6599127299 1
 
0.5%
0.7927069066 1
 
0.5%
0.7922989702 1
 
0.5%
0.8312656847 1
 
0.5%
0.5429023615 1
 
0.5%
0.2147874609 1
 
0.5%
0.1978936538 1
 
0.5%
0.7989632322 1
 
0.5%
0.8304725389 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.06664675472 1
0.5%
0.08709304174 1
0.5%
0.103935994 1
0.5%
0.1905146018 1
0.5%
0.1978936538 1
0.5%
0.2014834105 1
0.5%
0.2020293374 1
0.5%
0.2147874609 1
0.5%
0.2274341764 1
0.5%
0.2287969862 1
0.5%
ValueCountFrequency (%)
0.8312656847 1
0.5%
0.8310721109 1
0.5%
0.8304725389 1
0.5%
0.8302623488 1
0.5%
0.8294142647 1
0.5%
0.8263893582 1
0.5%
0.8261795564 1
0.5%
0.8251805678 1
0.5%
0.8231224917 1
0.5%
0.8229771521 1
0.5%

constitutional_time
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.207254
Minimum11
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:13.388918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile27
Q147
median62
Q3103
95-th percentile205.6
Maximum233
Range222
Interquartile range (IQR)56

Descriptive statistics

Standard deviation57.592123
Coefficient of variation (CV)0.66806586
Kurtosis0.10938219
Mean86.207254
Median Absolute Deviation (MAD)21
Skewness1.1392082
Sum16638
Variance3316.8527
MonotonicityNot monotonic
2024-01-28T15:36:13.732915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 9
 
4.7%
60 8
 
4.1%
44 6
 
3.1%
75 5
 
2.6%
31 5
 
2.6%
43 5
 
2.6%
58 5
 
2.6%
41 5
 
2.6%
47 5
 
2.6%
61 5
 
2.6%
Other values (89) 135
69.9%
ValueCountFrequency (%)
11 1
 
0.5%
14 1
 
0.5%
19 1
 
0.5%
20 1
 
0.5%
24 1
 
0.5%
25 1
 
0.5%
26 2
1.0%
27 4
2.1%
28 2
1.0%
29 3
1.6%
ValueCountFrequency (%)
233 1
0.5%
231 2
1.0%
227 1
0.5%
221 1
0.5%
214 1
0.5%
213 1
0.5%
211 1
0.5%
209 1
0.5%
208 1
0.5%
204 1
0.5%

first_regime_time
Real number (ℝ)

HIGH CORRELATION 

Distinct80
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.797927
Minimum1
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:14.062917image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q114
median27
Q348
95-th percentile110.2
Maximum233
Range232
Interquartile range (IQR)34

Descriptive statistics

Standard deviation39.518793
Coefficient of variation (CV)1.045528
Kurtosis7.3855154
Mean37.797927
Median Absolute Deviation (MAD)16
Skewness2.4693408
Sum7295
Variance1561.735
MonotonicityNot monotonic
2024-01-28T15:36:14.449448image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 7
 
3.6%
14 7
 
3.6%
16 6
 
3.1%
4 6
 
3.1%
3 5
 
2.6%
19 5
 
2.6%
31 5
 
2.6%
5 5
 
2.6%
15 5
 
2.6%
28 5
 
2.6%
Other values (70) 137
71.0%
ValueCountFrequency (%)
1 5
2.6%
2 3
1.6%
3 5
2.6%
4 6
3.1%
5 5
2.6%
6 4
2.1%
7 1
 
0.5%
8 3
1.6%
9 3
1.6%
10 3
1.6%
ValueCountFrequency (%)
233 1
0.5%
208 1
0.5%
201 1
0.5%
191 1
0.5%
170 1
0.5%
165 1
0.5%
154 1
0.5%
147 1
0.5%
139 1
0.5%
121 1
0.5%

1st_2nd_tfidf_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.064686728
Minimum0.000502996
Maximum0.90709697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:14.843448image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.000502996
5-th percentile0.0043163806
Q10.010681518
median0.02548487
Q30.055534077
95-th percentile0.237889
Maximum0.90709697
Range0.90659398
Interquartile range (IQR)0.044852559

Descriptive statistics

Standard deviation0.13129391
Coefficient of variation (CV)2.0296885
Kurtosis26.298727
Mean0.064686728
Median Absolute Deviation (MAD)0.016638227
Skewness4.7766238
Sum8.4092747
Variance0.01723809
MonotonicityNot monotonic
2024-01-28T15:36:15.247445image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0442038 1
 
0.5%
0.01093746222 1
 
0.5%
0.049142436 1
 
0.5%
0.016290612 1
 
0.5%
0.03086501586 1
 
0.5%
0.0100003 1
 
0.5%
0.03229303583 1
 
0.5%
0.02429661167 1
 
0.5%
0.02611540484 1
 
0.5%
0.04276124 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.000502996 1
0.5%
0.0008017704545 1
0.5%
0.00201733 1
0.5%
0.002350504317 1
0.5%
0.003794420833 1
0.5%
0.004042278571 1
0.5%
0.00406967027 1
0.5%
0.004617915385 1
0.5%
0.00465801125 1
0.5%
0.0050721 1
0.5%
ValueCountFrequency (%)
0.907096975 1
0.5%
0.90364835 1
0.5%
0.55195415 1
0.5%
0.35231498 1
0.5%
0.322714911 1
0.5%
0.31628056 1
0.5%
0.2379957 1
0.5%
0.23775859 1
0.5%
0.227624476 1
0.5%
0.20651088 1
0.5%

1st_2nd_lda_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.049513003
Minimum3.5572302 × 10-5
Maximum0.80163183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:15.656980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum3.5572302 × 10-5
5-th percentile0.0064854003
Q10.011824608
median0.020550206
Q30.041485869
95-th percentile0.17573289
Maximum0.80163183
Range0.80159626
Interquartile range (IQR)0.029661262

Descriptive statistics

Standard deviation0.10713851
Coefficient of variation (CV)2.1638459
Kurtosis35.146391
Mean0.049513003
Median Absolute Deviation (MAD)0.010883239
Skewness5.5850728
Sum6.4366903
Variance0.01147866
MonotonicityNot monotonic
2024-01-28T15:36:16.098979image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06127549346 1
 
0.5%
0.01179737921 1
 
0.5%
0.03669055506 1
 
0.5%
0.005235749249 1
 
0.5%
0.01965469016 1
 
0.5%
0.01717973712 1
 
0.5%
0.007656337635 1
 
0.5%
0.01817024805 1
 
0.5%
0.02081681719 1
 
0.5%
0.04439479005 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
3.557230182 × 10-51
0.5%
0.002620096689 1
0.5%
0.003180420336 1
0.5%
0.004033466684 1
0.5%
0.005235749249 1
0.5%
0.006174361731 1
0.5%
0.006477954831 1
0.5%
0.006494500368 1
0.5%
0.00649978057 1
0.5%
0.006762087726 1
0.5%
ValueCountFrequency (%)
0.8016318293 1
0.5%
0.777378254 1
0.5%
0.4077143686 1
0.5%
0.2328861703 1
0.5%
0.1969738114 1
0.5%
0.187437504 1
0.5%
0.179047086 1
0.5%
0.1716821955 1
0.5%
0.1490337043 1
0.5%
0.1458244548 1
0.5%

1st_2nd_use_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.015300818
Minimum0.00027584786
Maximum0.3867031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:16.490499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.00027584786
5-th percentile0.0007827632
Q10.001691636
median0.0035197699
Q30.0093014493
95-th percentile0.048383308
Maximum0.3867031
Range0.38642725
Interquartile range (IQR)0.0076098133

Descriptive statistics

Standard deviation0.047631354
Coefficient of variation (CV)3.1129939
Kurtosis40.109223
Mean0.015300818
Median Absolute Deviation (MAD)0.0024572005
Skewness6.0891318
Sum1.9891064
Variance0.0022687459
MonotonicityNot monotonic
2024-01-28T15:36:16.860503image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006890411732 1
 
0.5%
0.001416576933 1
 
0.5%
0.01642958016 1
 
0.5%
0.0003110488609 1
 
0.5%
0.001454163725 1
 
0.5%
0.00238595171 1
 
0.5%
0.00219730284 1
 
0.5%
0.00219281746 1
 
0.5%
0.008890991733 1
 
0.5%
0.02054012662 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.0002758478593 1
0.5%
0.0003110488609 1
0.5%
0.000346880376 1
0.5%
0.0007009087638 1
0.5%
0.0007175441693 1
0.5%
0.0007365845831 1
0.5%
0.000779256 1
0.5%
0.0007870497845 1
0.5%
0.0007882253443 1
0.5%
0.00086396236 1
0.5%
ValueCountFrequency (%)
0.3867030993 1
0.5%
0.3005765842 1
0.5%
0.2158303006 1
0.5%
0.1053613701 1
0.5%
0.08750394489 1
0.5%
0.0553042328 1
0.5%
0.05238983032 1
0.5%
0.04348644751 1
0.5%
0.03195685445 1
0.5%
0.02834948051 1
0.5%

1st_2nd_stm_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.053535561
Minimum0.0016827882
Maximum0.77444473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:17.237504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0016827882
5-th percentile0.0051174882
Q10.010717273
median0.020480126
Q30.044950708
95-th percentile0.19435204
Maximum0.77444473
Range0.77276194
Interquartile range (IQR)0.034233435

Descriptive statistics

Standard deviation0.11514934
Coefficient of variation (CV)2.1508945
Kurtosis26.221818
Mean0.053535561
Median Absolute Deviation (MAD)0.011627264
Skewness4.8958874
Sum6.9596229
Variance0.013259371
MonotonicityNot monotonic
2024-01-28T15:36:17.593499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02260118292 1
 
0.5%
0.009449573254 1
 
0.5%
0.03963534533 1
 
0.5%
0.007421928113 1
 
0.5%
0.003746119751 1
 
0.5%
0.09171021114 1
 
0.5%
0.005944617741 1
 
0.5%
0.03951817653 1
 
0.5%
0.01602214829 1
 
0.5%
0.05090582931 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.001682788181 1
0.5%
0.002165333208 1
0.5%
0.002688331847 1
0.5%
0.00276490608 1
0.5%
0.003657165131 1
0.5%
0.003746119751 1
0.5%
0.004710118217 1
0.5%
0.005615384814 1
0.5%
0.005940870585 1
0.5%
0.005944617741 1
0.5%
ValueCountFrequency (%)
0.7744447283 1
0.5%
0.7636754462 1
0.5%
0.6141453375 1
0.5%
0.3477130875 1
0.5%
0.2435585183 1
0.5%
0.2179150846 1
0.5%
0.2083755094 1
0.5%
0.1772122481 1
0.5%
0.1755816702 1
0.5%
0.1558968377 1
0.5%

1st_curr_tfidf_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.0075894263
Minimum0.00038964479
Maximum0.023860502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:17.860499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.00038964479
5-th percentile0.0010232233
Q10.0038469856
median0.0064658677
Q30.0098641141
95-th percentile0.017966702
Maximum0.023860502
Range0.023470857
Interquartile range (IQR)0.0060171285

Descriptive statistics

Standard deviation0.0053160365
Coefficient of variation (CV)0.70045302
Kurtosis0.64041234
Mean0.0075894263
Median Absolute Deviation (MAD)0.0030692528
Skewness1.019514
Sum0.98662542
Variance2.8260245 × 10-5
MonotonicityNot monotonic
2024-01-28T15:36:18.123498image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003065826263 1
 
0.5%
0.004234045763 1
 
0.5%
0.004329730044 1
 
0.5%
0.004534587439 1
 
0.5%
0.01192001661 1
 
0.5%
0.003862966129 1
 
0.5%
0.006434186486 1
 
0.5%
0.002190645455 1
 
0.5%
0.004409882225 1
 
0.5%
0.01311072643 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.0003896447887 1
0.5%
0.0007049835 1
0.5%
0.0007232732558 1
0.5%
0.0007530491216 1
0.5%
0.0008405541667 1
0.5%
0.0009431983333 1
0.5%
0.0009764686207 1
0.5%
0.001080367857 1
0.5%
0.001293729545 1
0.5%
0.001497160179 1
0.5%
ValueCountFrequency (%)
0.02386050154 1
0.5%
0.02272727273 1
0.5%
0.02267330958 1
0.5%
0.02196901183 1
0.5%
0.02001269931 1
0.5%
0.01912179 1
0.5%
0.01804372918 1
0.5%
0.01787255681 1
0.5%
0.01756787192 1
0.5%
0.01600473256 1
0.5%

1st_curr_lda_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.0074436575
Minimum0.00020952149
Maximum0.024573635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:18.413522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.00020952149
5-th percentile0.0025482828
Q10.0039208766
median0.0068954084
Q30.010364076
95-th percentile0.013662685
Maximum0.024573635
Range0.024364113
Interquartile range (IQR)0.0064431993

Descriptive statistics

Standard deviation0.0041019489
Coefficient of variation (CV)0.55106631
Kurtosis1.5026412
Mean0.0074436575
Median Absolute Deviation (MAD)0.0031089973
Skewness0.91986874
Sum0.96767547
Variance1.6825985 × 10-5
MonotonicityNot monotonic
2024-01-28T15:36:18.734523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006405540584 1
 
0.5%
0.00458027059 1
 
0.5%
0.003232648023 1
 
0.5%
0.004097849419 1
 
0.5%
0.01198650291 1
 
0.5%
0.006722311877 1
 
0.5%
0.003049124563 1
 
0.5%
0.00072330693 1
 
0.5%
0.003977092082 1
 
0.5%
0.0106961995 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.0002095214932 1
0.5%
0.00072330693 1
0.5%
0.001114218953 1
0.5%
0.001776141399 1
0.5%
0.002319989807 1
0.5%
0.002463705894 1
0.5%
0.00254167689 1
0.5%
0.002556356642 1
0.5%
0.002581508016 1
0.5%
0.002581733867 1
0.5%
ValueCountFrequency (%)
0.02457363487 1
0.5%
0.0189185454 1
0.5%
0.01842834998 1
0.5%
0.01616458641 1
0.5%
0.01446806131 1
0.5%
0.01399008142 1
0.5%
0.01374956757 1
0.5%
0.01355649497 1
0.5%
0.01326802972 1
0.5%
0.01287594589 1
0.5%

1st_curr_use_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.0017634251
Minimum8.4346397 × 10-5
Maximum0.0082776238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:19.040553image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum8.4346397 × 10-5
5-th percentile0.00022727891
Q10.00086846631
median0.0013117156
Q30.0021358906
95-th percentile0.0049047103
Maximum0.0082776238
Range0.0081932774
Interquartile range (IQR)0.0012674243

Descriptive statistics

Standard deviation0.0015000575
Coefficient of variation (CV)0.85064993
Kurtosis4.0660565
Mean0.0017634251
Median Absolute Deviation (MAD)0.00061933365
Skewness1.9278975
Sum0.22924527
Variance2.2501724 × 10-6
MonotonicityNot monotonic
2024-01-28T15:36:19.344550image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001686505496 1
 
0.5%
0.0007362184559 1
 
0.5%
0.001447540102 1
 
0.5%
0.0005295494624 1
 
0.5%
0.002439334485 1
 
0.5%
0.001155890264 1
 
0.5%
0.001233448255 1
 
0.5%
0.0001358944032 1
 
0.5%
0.002406681829 1
 
0.5%
0.00143836549 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
8.434639675 × 10-51
0.5%
0.0001242641561 1
0.5%
0.0001358944032 1
0.5%
0.0001646019035 1
0.5%
0.0001818264 1
0.5%
0.0002164432958 1
0.5%
0.0002228054348 1
0.5%
0.000232746485 1
0.5%
0.0004024691666 1
0.5%
0.0004232424944 1
0.5%
ValueCountFrequency (%)
0.008277623793 1
0.5%
0.007046005358 1
0.5%
0.00649811518 1
0.5%
0.006098761269 1
0.5%
0.005524154085 1
0.5%
0.005285793785 1
0.5%
0.004930787287 1
0.5%
0.004872838339 1
0.5%
0.004870150068 1
0.5%
0.004724827562 1
0.5%

1st_curr_stm_adj
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)100.0%
Missing63
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean0.0069859241
Minimum0.00068831784
Maximum0.018888003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:19.637586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.00068831784
5-th percentile0.0023054443
Q10.0039356516
median0.0066953881
Q30.0089771201
95-th percentile0.013459805
Maximum0.018888003
Range0.018199685
Interquartile range (IQR)0.0050414685

Descriptive statistics

Standard deviation0.0038296462
Coefficient of variation (CV)0.54819465
Kurtosis0.58270177
Mean0.0069859241
Median Absolute Deviation (MAD)0.0027434808
Skewness0.90019675
Sum0.90817013
Variance1.466619 × 10-5
MonotonicityNot monotonic
2024-01-28T15:36:19.945586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003550080413 1
 
0.5%
0.005592480762 1
 
0.5%
0.00349210091 1
 
0.5%
0.004831091282 1
 
0.5%
0.01340751104 1
 
0.5%
0.008756489701 1
 
0.5%
0.002902533256 1
 
0.5%
0.002998388693 1
 
0.5%
0.003822790585 1
 
0.5%
0.01107296719 1
 
0.5%
Other values (120) 120
62.2%
(Missing) 63
32.6%
ValueCountFrequency (%)
0.0006883178409 1
0.5%
0.0009845635344 1
0.5%
0.001549924528 1
0.5%
0.001555232888 1
0.5%
0.001905146018 1
0.5%
0.002196125401 1
0.5%
0.002273599935 1
0.5%
0.002344365109 1
0.5%
0.002626796698 1
0.5%
0.002833015242 1
0.5%
ValueCountFrequency (%)
0.01888800252 1
0.5%
0.01886959884 1
0.5%
0.01811448267 1
0.5%
0.01590918734 1
0.5%
0.01572122068 1
0.5%
0.01352755029 1
0.5%
0.0135025905 1
0.5%
0.01340751104 1
0.5%
0.01307142027 1
0.5%
0.01291238536 1
0.5%

tfidf_distance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct131
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0647123
Minimum0
Maximum8.8055288
Zeros63
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:20.256454image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.61926216
Q31.4574026
95-th percentile4.3369979
Maximum8.8055288
Range8.8055288
Interquartile range (IQR)1.4574026

Descriptive statistics

Standard deviation1.4326588
Coefficient of variation (CV)1.345583
Kurtosis5.2709358
Mean1.0647123
Median Absolute Deviation (MAD)0.61926216
Skewness2.0547368
Sum205.48947
Variance2.0525111
MonotonicityNot monotonic
2024-01-28T15:36:20.515491image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
32.6%
2.55466716 1
 
0.5%
1.346237004 1
 
0.5%
0.9828487206 1
 
0.5%
3.680461466 1
 
0.5%
2.866323628 1
 
0.5%
0.3675777912 1
 
0.5%
1.50062342 1
 
0.5%
0.3533120155 1
 
0.5%
2.627345592 1
 
0.5%
Other values (121) 121
62.7%
ValueCountFrequency (%)
0 63
32.6%
0.02017331123 1
 
0.5%
0.03110074997 1
 
0.5%
0.05659192801 1
 
0.5%
0.05692410469 1
 
0.5%
0.08299434185 1
 
0.5%
0.08736741543 1
 
0.5%
0.1200658083 1
 
0.5%
0.1280924678 1
 
0.5%
0.1383602619 1
 
0.5%
ValueCountFrequency (%)
8.805528793 1
0.5%
5.926186346 1
0.5%
5.665635705 1
0.5%
5.363589868 1
0.5%
4.714640707 1
0.5%
4.614361033 1
0.5%
4.563309059 1
0.5%
4.48809563 1
0.5%
4.398849934 1
0.5%
4.370397478 1
0.5%

lda_distance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct131
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82431813
Minimum0
Maximum5.3102013
Zeros63
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:20.759491image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.57985105
Q31.1500078
95-th percentile2.6878081
Maximum5.3102013
Range5.3102013
Interquartile range (IQR)1.1500078

Descriptive statistics

Standard deviation0.96643452
Coefficient of variation (CV)1.1724048
Kurtosis3.2567221
Mean0.82431813
Median Absolute Deviation (MAD)0.57985105
Skewness1.6753087
Sum159.0934
Variance0.93399569
MonotonicityNot monotonic
2024-01-28T15:36:21.015892image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
32.6%
2.182414969 1
 
0.5%
1.135737341 1
 
0.5%
0.7338111011 1
 
0.5%
2.598592762 1
 
0.5%
1.352163196 1
 
0.5%
0.5455480628 1
 
0.5%
0.3011339598 1
 
0.5%
0.2367953335 1
 
0.5%
2.341969053 1
 
0.5%
Other values (121) 121
62.7%
ValueCountFrequency (%)
0 63
32.6%
0.009009424209 1
 
0.5%
0.106568484 1
 
0.5%
0.1136503332 1
 
0.5%
0.23170049 1
 
0.5%
0.2367953335 1
 
0.5%
0.2703033666 1
 
0.5%
0.2703666181 1
 
0.5%
0.2783459033 1
 
0.5%
0.2847315518 1
 
0.5%
ValueCountFrequency (%)
5.310201276 1
0.5%
4.299676602 1
0.5%
3.981688847 1
0.5%
3.608418739 1
0.5%
3.518476125 1
0.5%
3.422846227 1
0.5%
3.152002994 1
0.5%
3.026661364 1
0.5%
3.014511213 1
0.5%
2.813127573 1
0.5%

use_distance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct131
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17740448
Minimum0
Maximum1.8396432
Zeros63
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:21.252889image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.084286977
Q30.24213743
95-th percentile0.73340388
Maximum1.8396432
Range1.8396432
Interquartile range (IQR)0.24213743

Descriptive statistics

Standard deviation0.25137565
Coefficient of variation (CV)1.4169634
Kurtosis10.673291
Mean0.17740448
Median Absolute Deviation (MAD)0.084286977
Skewness2.667429
Sum34.239064
Variance0.063189715
MonotonicityNot monotonic
2024-01-28T15:36:21.517889image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
32.6%
0.2721637196 1
 
0.5%
0.09802493714 1
 
0.5%
0.3285916033 1
 
0.5%
0.2856437567 1
 
0.5%
0.122433367 1
 
0.5%
0.07973911799 1
 
0.5%
0.08428697711 1
 
0.5%
0.02295066144 1
 
0.5%
0.5079892852 1
 
0.5%
Other values (121) 121
62.7%
ValueCountFrequency (%)
0 63
32.6%
0.005343358713 1
 
0.5%
0.010909584 1
 
0.5%
0.02295066144 1
 
0.5%
0.02483414906 1
 
0.5%
0.02570967874 1
 
0.5%
0.03210179473 1
 
0.5%
0.03364362066 1
 
0.5%
0.03753879925 1
 
0.5%
0.03899271319 1
 
0.5%
ValueCountFrequency (%)
1.839643225 1
0.5%
0.9981496239 1
0.5%
0.9761781719 1
0.5%
0.9259964936 1
0.5%
0.8976717033 1
0.5%
0.8100906049 1
0.5%
0.8050738149 1
0.5%
0.7783798098 1
0.5%
0.7424658286 1
0.5%
0.7404241889 1
0.5%

stm_distance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct131
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1313376
Minimum0
Maximum13.761275
Zeros63
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T15:36:21.763887image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.53334203
Q31.4531487
95-th percentile4.3256491
Maximum13.761275
Range13.761275
Interquartile range (IQR)1.4531487

Descriptive statistics

Standard deviation1.7397494
Coefficient of variation (CV)1.537781
Kurtosis15.777215
Mean1.1313376
Median Absolute Deviation (MAD)0.53334203
Skewness3.2375335
Sum218.34815
Variance3.0267281
MonotonicityNot monotonic
2024-01-28T15:36:22.015065image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
32.6%
1.852420044 1
 
0.5%
1.559017085 1
 
0.5%
0.7927069066 1
 
0.5%
4.211583706 1
 
0.5%
2.577173316 1
 
0.5%
1.420003692 1
 
0.5%
0.3574582867 1
 
0.5%
0.4350027129 1
 
0.5%
3.361402 1
 
0.5%
Other values (121) 121
62.7%
ValueCountFrequency (%)
0 63
32.6%
0.06664675472 1
 
0.5%
0.103935994 1
 
0.5%
0.2493890969 1
 
0.5%
0.2554971727 1
 
0.5%
0.2564407247 1
 
0.5%
0.2853324978 1
 
0.5%
0.2884652441 1
 
0.5%
0.3030384246 1
 
0.5%
0.324062172 1
 
0.5%
ValueCountFrequency (%)
13.761275 1
0.5%
7.655179479 1
0.5%
7.011777933 1
0.5%
6.548253206 1
0.5%
6.469361033 1
0.5%
5.623032088 1
0.5%
5.45806128 1
0.5%
5.290515012 1
0.5%
4.525869525 1
0.5%
4.496747288 1
0.5%

Interactions

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2024-01-28T15:34:40.028210image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:43.727650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:48.198650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:51.897753image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:56.082227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:00.235092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:03.882092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:08.164330image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:11.964914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:18.007990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:22.465538image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:27.045397image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:31.137921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:35.159007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:38.948015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:42.840090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:47.043089image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:51.220650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:55.586905image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:36:00.830355image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:25.160064image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:28.883597image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:32.681505image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:36.544174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:40.177209image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:43.937652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:48.347647image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:52.097750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:56.247231image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:00.398093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:04.035094image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:08.325330image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:12.173913image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:18.268990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:22.634541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:27.210402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:31.318928image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:35.309009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:39.100008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:43.008090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:47.192008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:51.395651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:55.903304image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:36:00.988352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:25.315058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:29.032603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:32.834506image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:36.697174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:40.355210image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:44.146649image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:48.495650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:52.297750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:56.405230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:00.563093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:04.176136image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:08.481910image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:12.427912image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:18.488519image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:22.802539image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:27.374401image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:31.494915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:35.464008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:39.255031image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:43.175091image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:47.344009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:51.553650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:56.289305image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:36:01.143355image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:25.457065image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:29.181597image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:32.977504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:36.842175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:40.506209image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:44.608650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:48.637648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:52.487760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:56.583229image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:00.711092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:04.372138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:08.633909image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:12.651915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:18.706520image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:22.958399image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:27.529415image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:31.671923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:35.616009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:39.393007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:43.331094image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:47.482529image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:51.699653image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:56.903309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:36:01.316350image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:25.621062image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:29.344599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:33.143503image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:37.009173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:40.667209image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:44.815649image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:48.803648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:52.656748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:56.789063image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:00.885092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:04.581145image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:08.797909image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:12.975913image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:18.954519image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:23.136404image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:27.712399image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:31.888914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:35.783007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:39.563013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:43.519091image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:47.648035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:51.894648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:57.329304image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:36:01.458353image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:25.760065image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:29.481598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:33.284504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:37.152174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:40.803209image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:45.025651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:48.938648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:52.798750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:56.954054image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:01.039093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:04.764140image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:08.937909image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:13.202911image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:19.168521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:23.292421image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:27.867410image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:32.058436image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:35.948012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:39.702013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:43.674092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:47.796567image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:52.095648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:57.546317image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:36:01.612355image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:25.906065image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:29.630604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:33.437504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:37.297177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:40.947212image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:45.237651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:49.080651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:52.947025image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:57.150060image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:01.191092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:04.957139image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:09.086918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:13.438913image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:19.383527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:23.450402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:28.027408image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:32.235440image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:36.098009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:39.853012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:43.835098image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:48.017570image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:52.243648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:57.726326image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:36:01.792353image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:26.071059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:29.937603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:33.600503image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:37.481175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:41.105214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:45.460651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:49.238650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:53.116026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:34:57.338054image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:01.358092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:05.154137image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:09.250908image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:13.697914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:19.621518image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:23.634399image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:28.207402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:32.433434image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:36.267024image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:40.018013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:44.502127image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:48.191565image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:52.406041image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-01-28T15:35:57.899341image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-01-28T15:36:22.236061image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
1st_2nd_lda1st_2nd_lda_adj1st_2nd_stm1st_2nd_stm_adj1st_2nd_tfidf1st_2nd_tfidf_adj1st_2nd_use1st_2nd_use_adj1st_const_year1st_curr_lda_adj1st_curr_stm_adj1st_curr_tfidf_adj1st_curr_use_adj1st_current_lda1st_current_stm1st_current_tfidf1st_current_use2nd_const_yearconstitutional_timefirst_regime_timelda_distancestm_distancetfidf_distanceuse_distance
1st_2nd_lda1.0000.1210.717-0.0850.538-0.0410.5930.088-0.1280.2760.1760.2880.3260.4670.3120.3600.3860.1980.1280.4270.2190.0910.0960.265
1st_2nd_lda_adj0.1211.0000.1770.8410.1150.7320.1500.7300.2240.3450.3430.2830.2870.1350.1700.2260.084-0.128-0.224-0.7720.3320.2990.2820.293
1st_2nd_stm0.7170.1771.0000.2510.4640.0640.5290.223-0.1180.1990.2870.2130.2120.3750.4960.3660.2780.0600.1180.2190.2320.2960.1070.299
1st_2nd_stm_adj-0.0850.8410.2511.0000.0290.7020.0650.7470.2340.2360.3470.1960.1800.0340.1980.191-0.016-0.174-0.234-0.8520.2440.3270.1920.240
1st_2nd_tfidf0.5380.1150.4640.0291.0000.4500.4200.155-0.345-0.016-0.0620.3930.2080.4070.3820.6790.392-0.2270.3450.1860.4540.3770.6090.461
1st_2nd_tfidf_adj-0.0410.7320.0640.7020.4501.0000.0530.598-0.0180.1090.1140.4050.1700.2080.2650.4750.135-0.3560.018-0.7030.4690.4410.6010.398
1st_2nd_use0.5930.1500.5290.0650.4200.0531.0000.579-0.1760.0550.0010.2070.4560.2410.1910.3890.6010.0210.1760.1870.1590.0940.1240.579
1st_2nd_use_adj0.0880.7300.2230.7470.1550.5980.5791.0000.1410.2040.2200.2910.4500.0770.1350.3190.345-0.131-0.141-0.6360.2410.2260.2080.528
1st_const_year-0.1280.224-0.1180.234-0.345-0.018-0.1760.1411.0000.7010.6650.3950.305-0.362-0.389-0.327-0.3800.801-1.000-0.144-0.573-0.554-0.562-0.527
1st_curr_lda_adj0.2760.3450.1990.236-0.0160.1090.0550.2040.7011.0000.8970.6700.5830.2830.1400.1140.0190.650-0.701-0.122-0.003-0.016-0.110-0.034
1st_curr_stm_adj0.1760.3430.2870.347-0.0620.1140.0010.2200.6650.8971.0000.5890.5500.2210.3270.0940.0110.565-0.665-0.203-0.0050.102-0.097-0.064
1st_curr_tfidf_adj0.2880.2830.2130.1960.3930.4050.2070.2910.3950.6700.5891.0000.5770.2660.1910.6160.1910.371-0.395-0.0750.1550.1110.2540.182
1st_curr_use_adj0.3260.2870.2120.1800.2080.1700.4560.4500.3050.5830.5500.5771.0000.2440.2180.3040.7050.309-0.305-0.0740.1720.1510.1710.430
1st_current_lda0.4670.1350.3750.0340.4070.2080.2410.077-0.3620.2830.2210.2660.2441.0000.7750.5960.466-0.2340.3620.1450.6440.5690.4720.441
1st_current_stm0.3120.1700.4960.1980.3820.2650.1910.135-0.3890.1400.3270.1910.2180.7751.0000.5720.470-0.3540.3890.0220.6500.7590.5430.450
1st_current_tfidf0.3600.2260.3660.1910.6790.4750.3890.319-0.3270.1140.0940.6160.3040.5960.5721.0000.462-0.3000.3270.0060.5480.5050.6070.515
1st_current_use0.3860.0840.278-0.0160.3920.1350.6010.345-0.3800.0190.0110.1910.7050.4660.4700.4621.000-0.2510.3800.1360.4900.4540.4580.730
2nd_const_year0.198-0.1280.060-0.174-0.227-0.3560.021-0.1310.8010.6500.5650.3710.309-0.234-0.354-0.300-0.2511.000-0.8010.213-0.580-0.578-0.593-0.429
constitutional_time0.128-0.2240.118-0.2340.3450.0180.176-0.141-1.000-0.701-0.665-0.395-0.3050.3620.3890.3270.380-0.8011.0000.1440.5730.5540.5620.527
first_regime_time0.427-0.7720.219-0.8520.186-0.7030.187-0.636-0.144-0.122-0.203-0.075-0.0740.1450.0220.0060.1360.2130.1441.000-0.471-0.493-0.485-0.452
lda_distance0.2190.3320.2320.2440.4540.4690.1590.241-0.573-0.003-0.0050.1550.1720.6440.6500.5480.490-0.5800.573-0.4711.0000.9730.9620.923
stm_distance0.0910.2990.2960.3270.3770.4410.0940.226-0.554-0.0160.1020.1110.1510.5690.7590.5050.454-0.5780.554-0.4930.9731.0000.9490.898
tfidf_distance0.0960.2820.1070.1920.6090.6010.1240.208-0.562-0.110-0.0970.2540.1710.4720.5430.6070.458-0.5930.562-0.4850.9620.9491.0000.905
use_distance0.2650.2930.2990.2400.4610.3980.5790.528-0.527-0.034-0.0640.1820.4300.4410.4500.5150.730-0.4290.527-0.4520.9230.8980.9051.000

Missing values

2024-01-28T15:36:02.139911image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:36:02.892899image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

codecountry1st_const_year2nd_const_year1st_2nd_tfidf1st_current_tfidf1st_2nd_lda1st_current_lda1st_2nd_use1st_current_use1st_2nd_stm1st_current_stmconstitutional_timefirst_regime_time1st_2nd_tfidf_adj1st_2nd_lda_adj1st_2nd_use_adj1st_2nd_stm_adj1st_curr_tfidf_adj1st_curr_lda_adj1st_curr_use_adj1st_curr_stm_adjtfidf_distancelda_distanceuse_distancestm_distance
0AFGAfghanistan19231931.00.3536300.3035170.4902040.6341490.0551230.1669640.1808090.351458998.00.0442040.0612750.0068900.0226010.0030660.0064060.0016870.0035502.5546672.1824150.2721641.852420
1ALBAlbania19251928.00.5134470.6363410.4374730.7886220.0828780.1021030.5267450.751644973.00.1711490.1458240.0276260.1755820.0065600.0081300.0010530.0077492.8180892.4124500.7783803.296292
2DZAAlgeria19631996.00.6509470.6509470.5368400.5368400.1329690.1329690.4839080.4839085933.00.0197260.0162680.0040290.0146640.0110330.0090990.0022540.0082020.6509470.5368400.1329690.483908
3ANDAndorra1993NaNNaNNaNNaNNaNNaNNaNNaNNaN2929.0NaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.000000
4AGOAngola19752010.00.3174430.3174430.5716230.5716230.3054110.3054110.4893180.4893184735.00.0090700.0163320.0087260.0139810.0067540.0121620.0064980.0104110.3174430.5716230.3054110.489318
5ATGAntigua Barbuda1981NaNNaNNaNNaNNaNNaNNaNNaNNaN4141.0NaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.000000
6ARGArgentina18191826.00.5054890.7943050.2517270.7332570.0145850.0439380.2528340.4615412037.00.0722130.0359610.0020840.0361190.0039130.0036120.0002160.0022741.1499670.8812070.0375390.714374
7ARMArmenia19952005.00.0645110.3719610.1224430.3777320.0342810.0963560.1804140.3529282710.00.0064510.0122440.0034280.0180410.0137760.0139900.0035690.0130710.3890740.4190850.0840170.533342
8AUSAustralia1901NaNNaNNaNNaNNaNNaNNaNNaNNaN121121.0NaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.000000
9AUTAustria19201934.00.3382170.3382170.1136500.1136500.0489030.0489030.4032900.40329010214.00.0241580.0081180.0034930.0288060.0033160.0011140.0004790.0039540.3382170.1136500.0489030.403290
codecountry1st_const_year2nd_const_year1st_2nd_tfidf1st_current_tfidf1st_2nd_lda1st_current_lda1st_2nd_use1st_current_use1st_2nd_stm1st_current_stmconstitutional_timefirst_regime_time1st_2nd_tfidf_adj1st_2nd_lda_adj1st_2nd_use_adj1st_2nd_stm_adj1st_curr_tfidf_adj1st_curr_lda_adj1st_curr_use_adj1st_curr_stm_adjtfidf_distancelda_distanceuse_distancestm_distance
183USAUnited states1789NaNNaNNaNNaNNaNNaNNaNNaNNaN233233.0NaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.000000
184URYUruguay18301918.00.0705560.8528280.2305690.6612820.0242750.2017720.2365730.58216119288.00.0008020.0026200.0002760.0026880.0044420.0034440.0010510.0030321.2790920.9278960.1712291.410233
185UZBUzbekistan1992NaNNaNNaNNaNNaNNaNNaNNaNNaN3030.0NaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.000000
186VUTVanuatu19791980.00.0311010.0311010.0090090.0090090.0053430.0053430.0666470.066647431.00.0311010.0090090.0053430.0666470.0007230.0002100.0001240.0015500.0311010.0090090.0053430.066647
187VENVenezuela18301858.00.4953110.6903890.1818460.7608600.0471120.1850520.1842050.78007819228.00.0176900.0064950.0016830.0065790.0035960.0039630.0009640.0040635.6656363.6084190.50370413.761275
188VDRVietnam19601980.00.8855660.8914620.2400320.2632290.0526520.0569590.2534920.2287976220.00.0442780.0120020.0026330.0126750.0143780.0042460.0009190.0036901.1573570.4825460.0712020.482289
189YEMYemen Arab Republic19701991.00.9135290.9135290.6475010.6475010.0655790.0655790.6631850.6631855221.00.0435010.0308330.0031230.0315800.0175680.0124520.0012610.0127540.9135290.6475010.0655790.663185
190YUGYugoslavia19211931.00.7365630.9292970.4840820.7317030.0354650.1333980.4537620.68718810110.00.0736560.0484080.0035460.0453760.0092010.0072450.0013210.0068044.4880963.9816890.7424665.623032
191ZMBZambia19641973.00.4758260.0868920.1107000.1482690.0070830.0095470.0534680.202029589.00.0528700.0123000.0007870.0059410.0014980.0025560.0001650.0034830.9635510.2317000.0248340.255497
192ZWEZimbabwe19651969.00.2492810.9122700.3709430.8246790.0326590.0920310.3295740.688878574.00.0623200.0927360.0081650.0823930.0160050.0144680.0016150.0120861.1187741.4316190.1323591.478264